Document Details

Document Type : Article In Journal 
Document Title :
Stellar image interpretation system using artificial neural networks: II-Bipolar function case
نظام تفسير لصور النجوم باستخدام الشبكات العصبية الصناعية: حالة الدالة الثنائية القطبية II
 
Subject : Stellar image interpretation system 
Document Language : English 
Abstract : A supervised Artificial Neural Network (ANN) based system is being developed employing the Bi-polar function for identifying stellar images in CCD frames. It is based on feed-forward artificial neural networks with error back-propagation learning. It has been coded in C language. The learning process was performed on a 341 input pattern set, while a similar set was used for testing. The present approach has been applied on a CCD frame of the open star cluster M67. The results obtained have been discussed and compared with those derived in our previous work employing the Uni-polar function and by a package known in the astronomical community (DAOPHOT-II). Full agreement was found between the present approach, that of Elnagahy et al, and the standard astronomical data for the cluster. It has been shown that the developed technique resembles that of the Uni-Polar function, possessing a simple, much faster yet reliable approach. Moreover, neither prior knowledge on, nor initial data from, the frame to be analysed is required, as it is for DAOPHOT-II. 
ISSN : 12102709 
Journal Name : ACTA POLYTECHNICA: Journal of Advanced Engineering 
Volume : 43 
Issue Number : 1 
Publishing Year : 1425 AH
2004 AD 
Article Type : Article 
Added Date : Monday, January 30, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فرج النجاحيElnagahy, farag InvestigatorDoctoratefaragelnagahy@hotmail.com

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